{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "227a93f3",
   "metadata": {},
   "source": [
    "<div dir=\"rtl\" align=\"center\">\n",
    "<font face=\"XB Zar\" size=5>\n",
    "    <font face=\"IranNastaliq\" size=5>\n",
    "      به نام خدا\n",
    "    </font>\n",
    "    <br>\n",
    "    <font size=3>\n",
    "      دانشگاه صنعتی شریف - دانشکده مهندسی کامپیوتر\n",
    "    </font>\n",
    "    <br>\n",
    "    <font color=blue size=5>\n",
    "      مقدمه‌ای بر یادگیری ماشین\n",
    "    </font>\n",
    "    <br>\n",
    "    <hr/>\n",
    "    <font color=red size=6>\n",
    "      فصل هفتم: Transformers & Attention\n",
    "    </font>\n",
    "    <br>\n",
    "       نویسندگان:‌ عماد صالحی\n",
    "    <hr>\n",
    "<br>\n",
    "  <div align=\"right\">\n",
    "  <font color=\"red\" size=5>فهرست مطالب</font>\n",
    "\t<ul>\n",
    "    <li>\n",
    "        <a href='#intro'>\n",
    "        مقدمه\n",
    "        <ul>\n",
    "          <li>\n",
    "            <a href=\"#Embeddings\">\n",
    "              Embedding\n",
    "            </a>\n",
    "          </li>\n",
    "          <li>\n",
    "            <a href=\"#PE\">\n",
    "              Positional Encoding\n",
    "            </a>\n",
    "          </li>\n",
    "          <li>\n",
    "            <a href=\"#Masks\">\n",
    "              Masks\n",
    "            </a>\n",
    "          </li>\n",
    "          <li>\n",
    "            <a href=\"#MHA\">\n",
    "              Multi-Head Attention layer\n",
    "            </a>\n",
    "          </li>\n",
    "          <li>\n",
    "            <a href=\"#FF\">\n",
    "              Feed-Forward layer\n",
    "            </a>\n",
    "          </li>\n",
    "          <li>\n",
    "            <a href=\"En_DE\">\n",
    "              ساخت Encoder و Decoder\n",
    "            </a>\n",
    "          </li>\n",
    "          <li>\n",
    "            <a href=\"#Transformer\">\n",
    "              ساخت Transformer\n",
    "            </a>\n",
    "          </li>\n",
    "        </ul>\n",
    "        </a>\n",
    "\t</li>\n",
    "\t\t<li>\n",
    "      <a href=\"#Sentiment_Analysis\">\n",
    "       Sentiment Analysis با استفاده از Transformer\n",
    "      </a>\n",
    "    </li>\n",
    "    <li>\n",
    "      <a href=\"#training\">\n",
    "       3\n",
    "      </a>\n",
    "    </li>\n",
    "    <li>\n",
    "      <a href=\"#inference\">\n",
    "       4\n",
    "      </a>\n",
    "    </li>\n",
    "    </li>\n",
    "    </div>\n",
    "</font>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc34fd21",
   "metadata": {},
   "source": [
    "<div dir=rtl id=\"intro\">\n",
    "  <font face=\"XB Zar\" size=4>\n",
    "      <font color=\"green\" size=5>\n",
    "        مقدمه\n",
    "      </font>\n",
    "\n",
    "</font>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae4ef6c3",
   "metadata": {},
   "source": [
    "<div style=\"direction:rtl; font-size:15px; color:black\"> در این قسمت قصد داریم از ابتدا یکبار Transformer را بسازیم چون این کار باعث تثبیت مفاهیم گفته شده میشود. با توجه به شکل زیر که در اسلاید ها هم آورده شده، ما برای پیاده سازی Transformer ها به پیاده سازی این ۵ مورد پایین احتیاج داریم: <br/><br/>\n",
    "- Input Embedding <br/>\n",
    "- Positional Encoding <br/>\n",
    "- Masks <br/>\n",
    "- Multi-Head Attention layer <br/>\n",
    "- Feed-Forward layer <br/>"
   ]
  },
  {
   "attachments": {
    "Transformer.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "c1d9ab24",
   "metadata": {},
   "source": [
    "<div>\n",
    "<img src=\"attachment:Transformer.png\" width=\"350\">\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f3fc861",
   "metadata": {},
   "source": [
    "<div dir=rtl id=\"Embeddings\">\n",
    "  <font face=\"XB Zar\" size=4>\n",
    "      <font color=\"red\" size=5>\n",
    "       Embedding\n",
    "      </font>\n",
    "\n",
    "</font>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05efe0e1",
   "metadata": {},
   "source": [
    "<div style=\"direction:rtl; font-size:15px; color:black\"> به ازای هر کلمه ای که به شبکه داده میشود، به راحتی با استفاده از PyTorch به Embedding آن لغت دست پیدا میکنیم."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0e485d30",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "\n",
    "class Embedder(nn.Module):\n",
    "    def __init__(self, vocab_size, d_model):\n",
    "        super().__init__()\n",
    "        self.embed = nn.Embedding(vocab_size, d_model)\n",
    "        \n",
    "    def forward(self, x):\n",
    "        return self.embed(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc7f0bae",
   "metadata": {},
   "source": [
    "<div dir=rtl id=\"PE\">\n",
    "  <font face=\"XB Zar\" size=4>\n",
    "      <font color=\"red\" size=5>\n",
    "       Positional Encoding\n",
    "      </font>\n",
    "\n",
    "</font>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92160b5e",
   "metadata": {},
   "source": [
    "<div style=\"direction:rtl; font-size:15px; color:black\"> برای پیاده سازی این قسمت هم نکته خاصی وجود ندارد و صرفا فرمولی که برای Positional Encoding گفته شده است پیاده سازی شده. فقط در متد forward که در ابتدا embedding ورودی یعنی x را در یک ثابت ضرب کردیم تا مقدار آن بزرگتر شود تا در نهایت positional encoding کوچکتری داشته باشیم."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bdbab415",
   "metadata": {},
   "outputs": [],
   "source": [
    "class PositionalEncoder(nn.Module):\n",
    "    def __init__(self, d_model, max_seq_len = 80):\n",
    "        super().__init__()\n",
    "        self.d_model = d_model\n",
    "         \n",
    "        # create constant 'pe' matrix with values dependant on\n",
    "        # pos and i\n",
    "        pe = torch.zeros(max_seq_len, d_model)\n",
    "        for pos in range(max_seq_len):\n",
    "            for i in range(0, d_model, 2):\n",
    "                pe[pos, i] = math.sin(pos / (10000 ** ((2 * i)/d_model)))\n",
    "                pe[pos, i + 1] = math.cos(pos / (10000 ** ((2 * (i + 1))/d_model)))\n",
    "                 \n",
    "        pe = pe.unsqueeze(0)\n",
    "        self.register_buffer('pe', pe)\n",
    "  \n",
    "     \n",
    "    def forward(self, x):\n",
    "        # make embeddings relatively larger\n",
    "        x = x * math.sqrt(self.d_model)\n",
    "        \n",
    "        #add constant to embedding\n",
    "        seq_len = x.size(1)\n",
    "        x = x + Variable(self.pe[:,:seq_len], requires_grad=False).cuda()\n",
    "        \n",
    "        return x"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "748a6c2a",
   "metadata": {},
   "source": [
    "<div dir=rtl id=\"Masks\">\n",
    "  <font face=\"XB Zar\" size=4>\n",
    "      <font color=\"red\" size=5>\n",
    "       Masks\n",
    "      </font>\n",
    "\n",
    "</font>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c563674",
   "metadata": {},
   "source": [
    "<div style=\"direction:rtl; font-size:15px; color:black\"> پیاده سازی mask هم برای قسمت encoder و هم برای decoder بسیار مهم است. این بخش دو وظیفه را انجام میدهد: <br><br>\n",
    "<li>\n",
    " Attention را برای جاهایی از ورودی که فقط padding هست صفر میکند.\n",
    "</li>\n",
    "<li>\n",
    " همچنین در decoder وقتی میخواهیم کلمه بعدی را پیش بینی کنیم، اجازه جلو افتادن (تمرکز بر روی کلمه های جلوتر) را نمیدهد.\n",
    "</li>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dc8bdbb9",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Creating Mask for the input\n",
    "\n",
    "batch = next(iter(train_iter))\n",
    "input_seq = batch.English.transpose(0,1)\n",
    "input_pad = EN_TEXT.vocab.stoi['<pad>']\n",
    "\n",
    "# creates mask with 0s wherever there is padding in the input\n",
    "input_msk = (input_seq != input_pad).unsqueeze(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a3e3bf01",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Creating Mask for the target_seq (output)\n",
    "\n",
    "target_seq = batch.French.transpose(0,1)\n",
    "target_pad = FR_TEXT.vocab.stoi['<pad>']\n",
    "target_msk = (target_seq != target_pad).unsqueeze(1)\n",
    "     \n",
    "size = target_seq.size(1) # get seq_len for matrix\n",
    " \n",
    "nopeak_mask = np.triu(np.ones(1, size, size),\n",
    "k=1).astype('uint8')\n",
    "nopeak_mask = Variable(torch.from_numpy(nopeak_mask) == 0)\n",
    " \n",
    "target_msk = target_msk & nopeak_mask"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e3343f0",
   "metadata": {},
   "source": [
    "<div dir=rtl id=\"MHA\">\n",
    "  <font face=\"XB Zar\" size=4>\n",
    "      <font color=\"red\" size=5>\n",
    "       Multi-Head Attention layer\n",
    "      </font>\n",
    "\n",
    "</font>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e18a325",
   "metadata": {},
   "source": [
    "<div style=\"direction:rtl; font-size:15px; color:black\"> شکل زیر هم شهود بسیار خوبی برای پیاده سازی این قسمت به شما میدهد."
   ]
  },
  {
   "attachments": {
    "MHA.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "129fcff2",
   "metadata": {},
   "source": [
    "<div>\n",
    "<img src=\"attachment:MHA.png\" width=\"300\">\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "efc735e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "class MultiHeadAttention(nn.Module):\n",
    "    def __init__(self, heads, d_model, dropout = 0.1):\n",
    "        super().__init__()\n",
    "         \n",
    "        self.d_model = d_model\n",
    "        self.d_k = d_model // heads\n",
    "        self.h = heads\n",
    "         \n",
    "        self.q_linear = nn.Linear(d_model, d_model)\n",
    "        self.v_linear = nn.Linear(d_model, d_model)\n",
    "        self.k_linear = nn.Linear(d_model, d_model)\n",
    "        self.dropout = nn.Dropout(dropout)\n",
    "        self.out = nn.Linear(d_model, d_model)\n",
    "     \n",
    "    def forward(self, q, k, v, mask=None):\n",
    "         \n",
    "        bs = q.size(0)\n",
    "         \n",
    "        # perform linear operation and split into h heads\n",
    "         \n",
    "        k = self.k_linear(k).view(bs, -1, self.h, self.d_k)\n",
    "        q = self.q_linear(q).view(bs, -1, self.h, self.d_k)\n",
    "        v = self.v_linear(v).view(bs, -1, self.h, self.d_k)\n",
    "         \n",
    "        # transpose to get dimensions bs * h * sl * d_model\n",
    "        \n",
    "        k = k.transpose(1,2)\n",
    "        q = q.transpose(1,2)\n",
    "        v = v.transpose(1,2)\n",
    " \n",
    "        # calculate attention using function we will define next\n",
    "        scores = attention(q, k, v, self.d_k, mask, self.dropout)\n",
    "         \n",
    "        # concatenate heads and put through final linear layer\n",
    "        concat = scores.transpose(1,2).contiguous().view(bs, -1, self.d_model)\n",
    "         \n",
    "        output = self.out(concat)\n",
    "     \n",
    "        return output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e960a9b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "def attention(q, k, v, d_k, mask=None, dropout=None):\n",
    "     \n",
    "    scores = torch.matmul(q, k.transpose(-2, -1)) /  math.sqrt(d_k)\n",
    " \n",
    "    if mask is not None:\n",
    "        mask = mask.unsqueeze(1)\n",
    "        scores = scores.masked_fill(mask == 0, -1e9)\n",
    "    scores = F.softmax(scores, dim=-1)\n",
    "     \n",
    "    if dropout is not None:\n",
    "        scores = dropout(scores)\n",
    "         \n",
    "    output = torch.matmul(scores, v)\n",
    "    return output"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f50592b",
   "metadata": {},
   "source": [
    "<div dir=rtl id=\"FF\">\n",
    "  <font face=\"XB Zar\" size=4>\n",
    "      <font color=\"red\" size=5>\n",
    "       Feed-Forward layer\n",
    "      </font>\n",
    "\n",
    "</font>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd41c904",
   "metadata": {},
   "source": [
    "<div style=\"direction:rtl; font-size:15px; color:black\"> این لایه، لایه بسیار ساده ای است که برای عمیق کردن شبکه مان وجود دارد."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7c394e2f",
   "metadata": {},
   "outputs": [],
   "source": [
    "class FeedForward(nn.Module):\n",
    "    def __init__(self, d_model, d_ff=2048, dropout = 0.1):\n",
    "        super().__init__()\n",
    "        \n",
    "        # We set d_ff as a default to 2048\n",
    "        self.linear_1 = nn.Linear(d_model, d_ff)\n",
    "        self.dropout = nn.Dropout(dropout)\n",
    "        self.linear_2 = nn.Linear(d_ff, d_model)\n",
    "        \n",
    "    def forward(self, x):\n",
    "        x = self.dropout(F.relu(self.linear_1(x)))\n",
    "        x = self.linear_2(x)\n",
    "        \n",
    "        return x"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85458a7b",
   "metadata": {},
   "source": [
    "<div style=\"direction:rtl; font-size:15px; color:black\"> یکی از مهمترین قسمت های پیاده سازی شبکه عصبی عمیق همانطور که پیشتر هم در درس دیدیم، بحث normalization کردن است. این کار مانع بزرگ شدن زیاد از حد خروجی های لایه های شبکه میشود و این به معنی train شدن سریعتر مدل است."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c80f15f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Norm(nn.Module):\n",
    "    def __init__(self, d_model, eps = 1e-6):\n",
    "        super().__init__()\n",
    "     \n",
    "        self.size = d_model\n",
    "        # create two learnable parameters to calibrate normalisation\n",
    "        self.alpha = nn.Parameter(torch.ones(self.size))\n",
    "        self.bias = nn.Parameter(torch.zeros(self.size))\n",
    "        self.eps = eps\n",
    "        \n",
    "    def forward(self, x):\n",
    "        norm = self.alpha * (x - x.mean(dim=-1, keepdim=True)) / (x.std(dim=-1, keepdim=True) + self.eps) + self.bias\n",
    "        \n",
    "        return norm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5490bb65",
   "metadata": {},
   "source": [
    "<div dir=rtl id=\"En_De\">\n",
    "  <font face=\"XB Zar\" size=4>\n",
    "      <font color=\"red\" size=5>\n",
    "       ساخت Encoder و Decoder\n",
    "      </font>\n",
    "\n",
    "</font>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d90469a0",
   "metadata": {},
   "source": [
    "<div style=\"direction:rtl; font-size:15px; color:black\"> با توجه به اینکه تمام ماژول ها و المان های شکل اولیه را ساختیم، میتوانیم یک لایه Encoder و یک لایه Decoder بسازیم که با کلاس های EncoderLayer و DecoderLayer این کار را میکنیم. حال همانطور که در شکل اولیه هم مشخص است ما میتوانیم N لایه در کنار هم از این جفت Encoder و Decoder داشته باشیم که این کار را با تابع get_clones انجام میدهیم."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0687c089",
   "metadata": {},
   "outputs": [],
   "source": [
    "class EncoderLayer(nn.Module):\n",
    "    def __init__(self, d_model, heads, dropout = 0.1):\n",
    "        super().__init__()\n",
    "        self.norm_1 = Norm(d_model)\n",
    "        self.norm_2 = Norm(d_model)\n",
    "        self.attn = MultiHeadAttention(heads, d_model)\n",
    "        self.ff = FeedForward(d_model)\n",
    "        self.dropout_1 = nn.Dropout(dropout)\n",
    "        self.dropout_2 = nn.Dropout(dropout)\n",
    "         \n",
    "    def forward(self, x, mask):\n",
    "        x2 = self.norm_1(x)\n",
    "        x = x + self.dropout_1(self.attn(x2,x2,x2,mask))\n",
    "        x2 = self.norm_2(x)\n",
    "        x = x + self.dropout_2(self.ff(x2))\n",
    "        return x\n",
    "     \n",
    "class DecoderLayer(nn.Module):\n",
    "    def __init__(self, d_model, heads, dropout=0.1):\n",
    "        super().__init__()\n",
    "        self.norm_1 = Norm(d_model)\n",
    "        self.norm_2 = Norm(d_model)\n",
    "        self.norm_3 = Norm(d_model)\n",
    "         \n",
    "        self.dropout_1 = nn.Dropout(dropout)\n",
    "        self.dropout_2 = nn.Dropout(dropout)\n",
    "        self.dropout_3 = nn.Dropout(dropout)\n",
    "         \n",
    "        self.attn_1 = MultiHeadAttention(heads, d_model)\n",
    "        self.attn_2 = MultiHeadAttention(heads, d_model)\n",
    "        self.ff = FeedForward(d_model).cuda()\n",
    "        \n",
    "    def forward(self, x, e_outputs, src_mask, trg_mask):\n",
    "        x2 = self.norm_1(x)\n",
    "        x = x + self.dropout_1(self.attn_1(x2, x2, x2, trg_mask))\n",
    "        x2 = self.norm_2(x)\n",
    "        x = x + self.dropout_2(self.attn_2(x2, e_outputs, e_outputs,\n",
    "        src_mask))\n",
    "        x2 = self.norm_3(x)\n",
    "        x = x + self.dropout_3(self.ff(x2))\n",
    "        return x\n",
    "    \n",
    "def get_clones(module, N):\n",
    "    return nn.ModuleList([copy.deepcopy(module) for i in range(N)])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5628112b",
   "metadata": {},
   "source": [
    "<div style=\"direction:rtl; font-size:15px; color:black\"> در نهایت هم ماژول های Encoder و Decoder را با N لایه میسازیم."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "616ecf3d",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Encoder(nn.Module):\n",
    "    def __init__(self, vocab_size, d_model, N, heads):\n",
    "        super().__init__()\n",
    "        self.N = N\n",
    "        self.embed = Embedder(vocab_size, d_model)\n",
    "        self.pe = PositionalEncoder(d_model)\n",
    "        self.layers = get_clones(EncoderLayer(d_model, heads), N)\n",
    "        self.norm = Norm(d_model)\n",
    "        \n",
    "    def forward(self, src, mask):\n",
    "        x = self.embed(src)\n",
    "        x = self.pe(x)\n",
    "        for i in range(N):\n",
    "            x = self.layers[i](x, mask)\n",
    "            \n",
    "        return self.norm(x)\n",
    "     \n",
    "class Decoder(nn.Module):\n",
    "    def __init__(self, vocab_size, d_model, N, heads):\n",
    "        super().__init__()\n",
    "        self.N = N\n",
    "        self.embed = Embedder(vocab_size, d_model)\n",
    "        self.pe = PositionalEncoder(d_model)\n",
    "        self.layers = get_clones(DecoderLayer(d_model, heads), N)\n",
    "        self.norm = Norm(d_model)\n",
    "        \n",
    "    def forward(self, trg, e_outputs, src_mask, trg_mask):\n",
    "        x = self.embed(trg)\n",
    "        x = self.pe(x)\n",
    "        for i in range(self.N):\n",
    "            x = self.layers[i](x, e_outputs, src_mask, trg_mask)\n",
    "            \n",
    "        return self.norm(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c0330fd",
   "metadata": {},
   "source": [
    "<div dir=rtl id=\"Transformer\">\n",
    "  <font face=\"XB Zar\" size=4>\n",
    "      <font color=\"red\" size=5>\n",
    "       ساخت Transformer\n",
    "      </font>\n",
    "\n",
    "</font>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "91e1cbd8",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Transformer(nn.Module):\n",
    "    def __init__(self, src_vocab, trg_vocab, d_model, N, heads):\n",
    "        super().__init__()\n",
    "        self.encoder = Encoder(src_vocab, d_model, N, heads)\n",
    "        self.decoder = Decoder(trg_vocab, d_model, N, heads)\n",
    "        self.out = nn.Linear(d_model, trg_vocab)\n",
    "        \n",
    "    def forward(self, src, trg, src_mask, trg_mask):\n",
    "        e_outputs = self.encoder(src, src_mask)\n",
    "        d_output = self.decoder(trg, e_outputs, src_mask, trg_mask)\n",
    "        output = self.out(d_output)\n",
    "        \n",
    "        return output"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da39ee82",
   "metadata": {},
   "source": [
    "<div dir=rtl id=\"Sentiment_Analysis\">\n",
    "  <font face=\"XB Zar\" size=4>\n",
    "      <font color=\"green\" size=5>\n",
    "       Sentiment Analysis با استفاده از Transformer\n",
    "      </font>\n",
    "\n",
    "</font>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b3513b7b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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